| name: pytorch-debug-env | |
| version: 1.0.0 | |
| description: Multi-step OpenEnv environment for diagnosing broken PyTorch training jobs. | |
| author: Priyansh Saxena | |
| client: | |
| class_name: PyTorchDebugEnv | |
| module: src.pytorch_debug_env.environment | |
| action: | |
| class_name: PyTorchDebugAction | |
| module: src.pytorch_debug_env.models | |
| observation: | |
| class_name: PyTorchDebugObservation | |
| module: src.pytorch_debug_env.models | |
| default_image: https://archcoder-pytorch-debug-env.hf.space | |
| spec_version: 1 | |
| tags: | |
| - openenv | |
| - pytorch | |
| - debugging | |
| - reinforcement-learning | |
| tasks: | |
| - id: easy | |
| name: Single-file bug detection | |
| difficulty: easy | |
| - id: medium | |
| name: Multi-file root cause analysis | |
| difficulty: medium | |
| - id: hard | |
| name: Silent failure diagnosis | |
| difficulty: hard | |
| runtime: | |
| framework: fastapi | |
| container_port: 7860 | |